Classification and Segmentation of Brain Tumor Using EfficientNet-B7 and U-Net
Asian Journal of Research in Computer Science, Volume 15, Issue 3,
Page 1-9
DOI:
10.9734/ajrcos/2023/v15i3320
Abstract
Tumors are caused by uncontrolled growth of abnormal cells. Magnetic Resonance Imaging (MRI) is modality that is widely used to produce highly detailed brain images. In addition, a surgical biopsy of the suspected tissue (tumor) is required to obtain more information about the type of tumor. Biopsy takes 10 to 15 days for laboratory testing. Based on a study conducted by Brady in 2016, errors in radiology practice are common, with an estimated daily error rate of 3-5%. Therefore, using the application of artificial intelligence, is expected to simplify and improve the accuracy of doctor's diagnose.
- Convolutional neural network
- U-Net
- EfficientNet-B7
- machine learning
- brain tumor
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References
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